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EMI: Exploration with Mutual Information Maximizing State and Action Embeddings., , , , and . CoRR, (2018)Deep Imitative Models for Flexible Inference, Planning, and Control., , and . CoRR, (2018)Learning Human Objectives by Evaluating Hypothetical Behavior., , , , and . CoRR, (2019)Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots., , , , , , and . IROS, page 4606-4613. IEEE, (2018)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , and . ICLR, OpenReview.net, (2020)Contextual Imagined Goals for Self-Supervised Robotic Learning., , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 530-539. PMLR, (2019)Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems, , , and . (2020)cite arxiv:2005.01643.Optimism-driven exploration for nonlinear systems., , , and . ICRA, page 3239-3246. IEEE, (2015)Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1008-1017. PMLR, (2018)Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning., , , , and . ICLR (Poster), OpenReview.net, (2017)